PROGRAM FILES:

The program files in the packed folder “codes” are provided for implementing the Monte Carlo simulation and the empirical study of the paper.
Note that you also need the INTEL Math Kernel Library (MKL) to compile with the FORTRAN codes and some MATLAB programs downloaded from MIT Strategic Engineering Research group (http://strategic.mit.edu/downloads.php?page=matlab_networks) to compute network statistics. 

Under the folder “simulation”, there are FORTRAN codes to generate Monte Carlo simulation results in Tables 1-2. 
-	In the sub-folder “DGP”, there are three FORTRAN 90 files and they should be complied together to form an executive file to generate artificial network and behavioral outcome data. 
-	In the sub-folder “estimation”, compiling FORTRAN 90 file “estimation_no_latent” with “random" and "tool” generates an executive file to estimate Model 1. 
-	In the sub-folder “estimation”, compiling FORTRAN 90 file “estimation_with_latent” with “random" and “tool” generates an executive file to estimate Model 2. 
-	“random” and “tool” are two modules which contain useful subrountines and functions

Under the folder “empirical”, there are FORTRAN and MATLAB codes to prepare data, estimate models, and perform goodness-of-fit and key player simulations.

-	In the sub-folder “prepare_data”, the MATLAB file “read_raw_data” reads the raw SDC and CATI database and extracts the 2006 sample. Another MATLAB file “prepare_sample” reads the 2006 raw sample and prepares SIC-28 sample for model estimation and policy analysis. 
-	In the sub-folder “estimation”, compiling FORTRAN 90 files “DMH_28_congestion_cyclic" and “random" and “tool" generates an executive file to estimate Model 1 in Table 4.
-	In the sub-folder “estimation”, compiling FORTRAN 90 files “DMH_28_congestion_cyclic_latent” with “random” and “tool” generates an executive file to estimate Model 2 in Table 4.
-	In the sub-folder “goodness_of_fit”, compiling FORTRAN 90 file “simulation_no_latent” with “random” and “tool” generates an executive file to simulate artificial networks for Model 1 in Figure 3.
-	In the sub-folder “goodness_of_fit”, compiling FORTRAN 90 file “simulation_with_latent” with ``random” and “tool” generates an executive file to simulate artificial networks for Model 2 in Figure 3.
-	In the sub-folder “goodness_of_fit”, MATLAB file “goodness_of_fit_plot_no_latent” plots panel(a) in Figure 3. Another MATLAB file “goodness_of_fit_plot_with_latent” plots panel(b) in Figure 3. The other MATLAB file “compute SGOF” calculates the SGOF between Model 1 and Model 2. 
-	In the sub-folder “keyplayer”, compiling FORTRAN 90 file “simulation_short” with “random” and “tool” generates an executive file to perform the key player simulation for the short run in Table 5. 
-	In the sub-folder “keyplayer”, compiling FORTRAN 90 file “simulation_long” with “random” and “tool” generates an executive file to perform the key player simulation for the long run in Table 5. 

DATA:

We make use of data on R&D collaborations between private and publicly listed companies that is part of the Thomson and Reuters Securities Data Company (SDC) database. As this database is proprietary, we cannot make it publicly available. However, it can be accessed by any researcher through a subscription to Thomson and Reuters, and many universities actually have subscriptions to this database for their students, faculty and staff. More information about this database can be found below:

https://financial.thomsonreuters.com/en/products/data-analytics/market-data/sdc-platinum-financial-securities.html

Similarly, we make use of the Cooperative Agreements and Technology Indicators (CATI) database. For more information about the CATI database, or how to obtain it, below you will find the contact details of the database administrator :

Marc van Ekert
CATI Database Administrator
Telephone +(31)43-3883726, Secretary +(31)43-3883823, Fax +(31)43-3884893
E-mail : m.vanekert@os.unimaas.nl

Postal address: 
Marc van Ekert
Department of Organization and Strategy
Faculty of Economics and Business Administration
P.O. Box 616
6200 MD Maastricht
The Netherlands.
